AI-Augmented Research & Productivity

What is AI-Augmented Research?

AI-augmented research merges traditional scholarly methods with advanced tools like ChatGPT, NVivo, Stata, ScholarAI, and custom GPTs. From conducting literature reviews to running statistical models and generating polished manuscripts, this model enhances speed, depth, and originality across the research cycle.
I’ve developed and refined an “AI-Augmented Research Workflow” that supports doctoral candidates, educators, and policy researchers in managing complex data, publishing faster, and amplifying their scholarly voice.

Key Tools in My AI Research Ecosystem:

• Custom GPTs: Automate academic feedback, citation formatting, and source summarization.

• Stata, SPSS & NVivo: Enhance qualitative and quantitative research with AI-assisted codebooks and visualizations.

• ScholarAI & Semantic Scholar APIs: Streamline literature discovery, annotation, and thematic analysis.

Why AI Matters for Academic Productivity:

• Time-Saving Efficiency: Speeds up coding, reviewing, and writing processes without sacrificing rigor.

• Cognitive Amplification: Offers writing prompts, outlines, and structure suggestions that unlock flow.

• Democratizing Research: Lowers barriers for multilingual, first-gen, and under-resourced scholars to engage in high-impact research.